docs: def uniform_random_global_network(loc=2000, scale=250, n=100):
      """
      Returns an array of `n` uniformally randomly distributed `shapely.geometry.Point` objects.
      """
      arr = (np.random.normal(loc, scale, n)).astype(int)
      return pd.DataFrame(data={'mock_variable': arr,
                                'from': uniform_random_global_points(n),
                                'to': uniform_random_global_points(n)})